scholarly journals The Determinants of Stock Returns in the Emerging Market of Kenya: An Empirical Evidence

2017 ◽  
Vol 9 (9) ◽  
pp. 8 ◽  
Author(s):  
Muinde Patrick Mumo

This study examined the sources of risk factors that determine stock returns in the emerging market of Kenya. The specific objectives were to determine the validity of the Capital Asset Pricing Model (CAPM) and then empirically test for factors that are priced in stock returns in Kenya.The factors examined are the excess market premium and selected macroeconomic factors including inflation, exchange rates, money supply and short term interest rates. The study utilizes monthly time series data for the period April 1996: December 2016. The CAPM, a multifactor approach and Fama and MacBeth (1973) two-step procedure are used for data analysis.The study finds that CAPM cannot be rejected and that the market premium is the most important factor in explaining stock return variability in Kenya. Therefore, the study concludes that unlike the recent evidence on the collapse of CAPM in advanced markets, the model can still be validly used for the Kenyan market.

2015 ◽  
Vol 7 (1) ◽  
pp. 1-13
Author(s):  
Magdalena Magdalena

This study aimed to analyze the macroeconomic factors such as exchange rate and interest rate in effect on the market price of the property and real estate in Indonesia (IHPR) during the years 2002-2013. Through the application of e-views, the causal relationship was found in time series data. VAR analysis and Granger Causality Test did not find any relationship between SBI and IHPR. However SBI affects EXCHANGE positively, and EXCHANGE affects IHPR. Every 1 point weakening of IDR in the previous period, assuming the IDR in the two previous periods fixed, the IHPR in year-t will increase by 0.004003 points. If IDR in two previous periods depreciated by 1 point with the assumption that the IDR at the previous period remains, then IHPR in year-t will increase by 0.007219 points. Keywords: SBI interest rates, IDR exchange rates, price of property, VAR, Granger Causality Test


2014 ◽  
Vol 13 (2) ◽  
Author(s):  
Arfiana Rachel

The objective of this research is to analyze the effect of idiosyncratic risk to stock return on Indonesia Stock Exchange. To test these variables, the study applied two pass regression with time series data of stock return LQ45 and stock price index from January 2014 - December 2014. The estimation method used in the first pass regression was selected by characteristics of the return data, that is EGARCH (1,1) method for heterokedasticity data and Ordinary Least Squares for constant variance data. Specifications on the second pass regression models using cross section data, that is month by month cross sectional regression of 30 stock portfolios, which aim to identify unsystematic risk role in explaining the behavior of the return from stock portfolio. The findings of this study indicate that unsystematic risk has insignificant effect on stock return. These findings support the statement postulated in Capital Asset Pricing Model (CAPM), that the only relevant risk in explaining the return of stock only systematic risk, so there is no statistical evidence is strong enough to declare that the unsystematic risk can play a role in explaining the movement of stock return.


2019 ◽  
Vol 1 (1) ◽  
pp. 26-38
Author(s):  
Ari Agestiani ◽  
Himawan Arif Sutanto

This study aims to determine macroeconomic factors such as interest rates, inflation, exchange rates, gross domestic product, and world gold prices in the Jakarta Islamic Index. This study uses time series data for 2015-2017. The data analysis technique used in this study is Multiple Linear Regression. The results of the study show that interest rates and exchange rates have negative effect on the Jakarta Islamic Index. While the world gold price looks positiveeffect towards the Jakarta Islamic Index. Meanwhile, the GDP does not oppose the Jakarta Islamic Index. R2adj value of 0.781 which shows the variation of the Jakarta Islamic Index can explain the factors of interest rates, exchange rates, world gold prices, the exchange rate and GDP of 78.1%. For investors who want to invest their capital in Indonesia, pay more attention to macro economic factors and approve selected instruments based on sharia, the main sharia capital market can make JII as a reference


ETIKONOMI ◽  
2020 ◽  
Vol 19 (2) ◽  
Author(s):  
Budiandru Budiandru ◽  
Sari Yuniarti

Investment financing is one of the operational activities of Islamic banking to encourage the real sector. This study aims to analyze the effect of economic turmoil on investment financing, analyze the response to investment financing, and analyze each variable's contribution in explaining the diversity of investment financing. This study uses monthly time series data from 2009 to 2020 using the Vector Error Correction Model (VECM) analysis. The results show that the exchange rate, inflation, and interest rates significantly affect Islamic banking investment financing in the long term. The response to investment financing is the fastest to achieve stability when it responds to shocks to the composite stock price index. Inflation is the most significant contribution in explaining diversity in investment financing. Islamic banking should increase the proportion of funding for investment. Customers can have a larger business scale to encourage economic growth, with investment financing increasing.JEL Classification: E22, G11, G24How to Cite:Budiandru., & Yuniarti, S. (2020). Economic Turmoil in Islamic Banking Investment. Etikonomi: Jurnal Ekonomi, 19(2), xx – xx. https://doi.org/10.15408/etk.v19i2.17206.


2019 ◽  
Vol 23 (4) ◽  
pp. 442-453 ◽  
Author(s):  
Saidia Jeelani ◽  
Joity Tomar ◽  
Tapas Das ◽  
Seshanwita Das

The article aims to study the relationship between those macroeconomic factors that the affect (INR/USD) exchange rate (ER). Time series data of 40 years on ER, GDP, inflation, interest rate (IR), FDI, money supply, trade balance (TB) and terms of trade (ToT) have been collected from the RBI website. The considered model has suggested that only inflation, TB and ToT have influenced the ER significantly during the study period. Other macroeconomic variables such as GDP, FDI and IR have not significantly influenced the ER during the study period. The model is robust and does not suffer from residual heteroscedasticity, autocorrelation and non-normality. Sometimes the relationship between ER and macroeconomic variables gets affected by major economic events. For example, the Southeast Asian crisis caused by currency depreciation in 1997 and sub-prime loan crisis of 2008 severely strained the national economies. Any global economic turmoil will affect different economic variables through ripple effect and this, in turn, will affect the ER of different economies differently. The article has also diagnosed whether there is any structural break or not in the model by applying Chow’s Breakpoint Test and have obtained multiple breaks between 2003 and 2009. The existence of structural breaks during 2003–2009 is explained by the fact that volume of crude oil imported by India is high and oil price rise led to a deficit in the TB alarmingly, which caused a structural break or parameter instability.


2021 ◽  
Vol 2 (2) ◽  
pp. 10-15
Author(s):  
Desalegn Emana

This study examined the relationship between budget deficit and economic growth in Ethiopia using time series data for the period 1991 to 2019 by applying the ARDL bounds testing approach. The empirical results indicate that budget deficit and economic growth in Ethiopia have a negative relationship in the long run, and have a weak positive association in the short run. In line with this, in the long run, a one percent increase in the budget deficit causes a 1.43 percent decline in the economic growth of the country. This result is consistent with the neoclassical view which says budget deficits are bad for economic growth during stimulating periods. Moreover, in the long run, the variables trade openness and inflation have a positive impact on Ethiopian economic growth, and on the other hand, the economic growth of Ethiopia is negatively affected by the nominal exchange rate in the long run. Apart from this, in the long run, gross capital formation and lending interest rates have no significant impact on the economic growth of the country. Therefore, the study recommends the government should manage its expenditure and mobilize the resources to generate more revenue to address the negative impact of the budget deficit on economic growth.


1976 ◽  
Vol 36 (4) ◽  
pp. 878-897 ◽  
Author(s):  
John A. James

In this article the convergence of U.S. interregional interest rates in the late nineteenth century is examined and two major hypotheses are tested in the framework of a bank portfolio selection model based on the capital-asset-pricing model. Both the spread of the commercial paper market and the lowering of entry barriers through the reduction of national bank minimum capital requirements are rejected as principal explanations. The erosion of local monopoly power is shown to have been of central importance, and this development was due to the growth of state rather than national banks.


2018 ◽  
Vol 5 (1) ◽  
pp. 65
Author(s):  
Ita Rakhmawati ◽  
Suhadi Suhadi

The crisis in 1997 is the image of the high rise in inflation in Indonesia. The phenomenon of inflation when it reached 82.40% (Anas, 2006). The early mid-1998 also experienced a weakening of the rupiah against the dollar. Condition stable economy is the desire of each country in comparison with the state of the economy has always fluctuated. Economic stability will create an atmosphere conducive economy. stable climatic conditions in the expected level of welfare is the purpose in each country. One of the efforts to maintain economic stability is through monetary policy. For example, with economic growth, maintain price stability (inflation), the achievement of the balance of payments and the reduction of unemployment (Natsir, 2008). The stability of the financial system of a country of which reflected their price stability, in the sense that there are a great price that can be harmful to society, both consumers and manufacturers that will damage the joints of the economy. However, the implementation of the policy, Bank Indonesia as the monetary authority uses monetary variables such as interest rates and the money supply to cope with economic shocks such as inflation. Besides the need for the government’s role in maintaining the rupiah to avoid turmoil in the economy. The importance of inflation control based on the consideration that the high inflation and unstable negative impact on socio-economic conditions of society. Among the high inflation will cause a decline in the real income of the community so that the standard of living of the people down and eventually make everyone, especially the poor get poorer. From one of the effects of inflation are so wide will impact people’s demands to meet the needs of more and more difficult. Their continuousprice increases being offset by rising income of the communities, it can make sure the Indonesian state would worsen. As a result many people’s needs can not be met, so many things that must be met by way of credit. The number of community needs that must be met will cause world of opportunities for banks to offer credit readily available to meet the needs. The third object of research above (inflation, poverty, and credit) does affect the stability of the financial system? In this study using secondary data from the Badan Pusat Statistik (BPS) and Bank Indonesia (BI) with time series data from the years 2007-2015. The process of data analysis was performed using OLS regression with Eviews 8.0. Based on research, if only partial test of the poverty variable significantly affect the stability of the financial system amounted to 2,023 with α = 10%. Meanwhile, two other variables (inflation and poverty) is not significant to the stability of the financial systemMeanwhile, two other variables (inflation and poverty) is not significant to the stability of the financial system. While the value of R-Square (0.629900), indicating that the three independent variables / free consisting of inflation, poverty and credit simultaneously have the effect that make the stabilization of the financial system increases or decreases. That is jointly independent variables (inflation, poverty and loans) contributed / effect of 62.9% against the stability of the financial system. The rest is the influence of other factors beyond the three independent variables studied.


2016 ◽  
Vol 14 (1) ◽  
pp. 8-19 ◽  
Author(s):  
Kudzai Raymond Marandu ◽  
Athenia Bongani Sibindi

The bank capital structure debacle in the aftermath of the 2007-2009 financial crises continues to preoccupy the minds of regulators and scholars alike. In this paper we investigate the relationship between capital structure and profitability within the context of an emerging market of South Africa. We conduct multiple linear regressions on time series data of big South African banks for the period 2002 to 2013. We establish a strong relationship between the ROA (profitability measure) and the bank specific determinants of capital structure, namely capital adequacy, size, deposits and credit risk. The relationship exhibits sensitivity to macro-economic shocks (such as recessions), in the case of credit risk and capital but is persistent for the other determinants of capital structure.


2020 ◽  
Vol 5 (1) ◽  
pp. 42
Author(s):  
Sufi Azhari Pambudi ◽  
M. Khoerul Mubin

This study aims to examine the effect of electronic money transactions on the velocity of money in Indonesia. This study uses a quantitative research approach using quarterly time series data for the 2010q1-2018q4 period. Using variable velocity obtained from Gross Domestic Product (GDP) divided by M2, electronic money transactions, GDP per capita, and interest rates using the Error Correction Model (ECM) method. The results show that in the long run variable electronic money transactions, income levels and interest rates are significantly positive. In the short term, interest rates and income levels are significantly positive, while electronic money transactions only have a slight effect on the velocity of moneyin Indonesia.


Sign in / Sign up

Export Citation Format

Share Document